_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_19300 |
Open a .npy file as a memory-mapped array. This may be used to read an existing file or create a new one. Parameters
filenamestr or path-like
The name of the file on disk. This may not be a file-like object.
modestr, optional
The mode in which to open the file; the default is ‘r+’. In addition to the standa... | |
doc_19301 |
Standardize a dataset along any axis. Center to the mean and component wise scale to unit variance. Read more in the User Guide. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The data to center and scale.
axisint, default=0
axis used to compute the means and standard deviations al... | |
doc_19302 |
Return probability estimates for the test vector X. Parameters
Xarray-like of shape (n_samples, n_features)
Returns
Carray-like of shape (n_samples, n_classes)
Returns the probability of the samples for each class in the model. The columns correspond to the classes in sorted order, as they appear in the a... | |
doc_19303 |
Autoscale the scalar limits on the norm instance using the current array | |
doc_19304 | A decorator for running tests that require support for symbolic links. | |
doc_19305 |
Sort a list of CPU features ordered by the lowest interest. Parameters
‘names’: sequence
sequence of supported feature names in uppercase. ‘reverse’: bool, optional
If true, the sorted features is reversed. (highest interest) Returns
list, sorted CPU features | |
doc_19306 | See torch.geqrf() | |
doc_19307 | Put the socket object into closed state without actually closing the underlying file descriptor. The file descriptor is returned, and can be reused for other purposes. New in version 3.2. | |
doc_19308 | See torch.arccos() | |
doc_19309 |
Return the decision path in the forest. New in version 0.18. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The input samples. Internally, its dtype will be converted to dtype=np.float32. If a sparse matrix is provided, it will be converted into a sparse csr_matrix. Returns
ind... | |
doc_19310 |
Return lowest indexes in each strings in the Series/Index. Each of returned indexes corresponds to the position where the substring is fully contained between [start:end]. Return -1 on failure. Equivalent to standard str.find(). Parameters
sub:str
Substring being searched.
start:int
Left edge index.
end:i... | |
doc_19311 | 'DEFAULT_PAGINATION_CLASS': 'rest_framework.pagination.LimitOffsetPagination',
'PAGE_SIZE': 100
}
Note that you need to set both the pagination class, and the page size that should be used. Both DEFAULT_PAGINATION_CLASS and PAGE_SIZE are None by default. You can also set the pagination class on an individual v... | |
doc_19312 | See Migration guide for more details. tf.compat.v1.raw_ops.ExtractGlimpse
tf.raw_ops.ExtractGlimpse(
input, size, offsets, centered=True, normalized=True, uniform_noise=True,
noise='uniform', name=None
)
Returns a set of windows called glimpses extracted at location offsets from the input tensor. If the wind... | |
doc_19313 | Kills the child. On POSIX OSs the function sends SIGKILL to the child. On Windows kill() is an alias for terminate(). | |
doc_19314 | See Migration guide for more details. tf.compat.v1.raw_ops.FusedBatchNormGradV3
tf.raw_ops.FusedBatchNormGradV3(
y_backprop, x, scale, reserve_space_1, reserve_space_2, reserve_space_3,
epsilon=0.0001, data_format='NHWC', is_training=True, name=None
)
Note that the size of 4D Tensors are defined by either "N... | |
doc_19315 |
Bases: object Viewer for displaying images. This viewer is a simple container object that holds a Matplotlib axes for showing images. ImageViewer doesn’t subclass the Matplotlib axes (or figure) because of the high probability of name collisions. Subclasses and plugins will likely extend the update_image method to ad... | |
doc_19316 |
Integer indicating how this dtype relates to the built-in dtypes. Read-only.
0 if this is a structured array type, with fields
1 if this is a dtype compiled into numpy (such as ints, floats etc)
2 if the dtype is for a user-defined numpy type A user-defined type uses the numpy C-API machinery to extend numpy to... | |
doc_19317 | tf.strings.to_number(
input, out_type=tf.dtypes.float32, name=None
)
(Note that int32 overflow results in an error while float overflow results in a rounded value.) Examples:
tf.strings.to_number("1.55")
<tf.Tensor: shape=(), dtype=float32, numpy=1.55>
tf.strings.to_number("3", tf.int32)
<tf.Tensor: shape=(), dty... | |
doc_19318 | Ignore unexpected shutdown of TLS connections. This option is only available with OpenSSL 3.0.0 and later. New in version 3.10. | |
doc_19319 |
Applies the hard shrinkage function element-wise See Hardshrink for more details. | |
doc_19320 | Create and return a text node containing the data passed as a parameter. As with the other creation methods, this one does not insert the node into the tree. | |
doc_19321 |
Return a label image based on polygon selections made with the mouse. Parameters
image(M, N[, 3]) array
Grayscale or RGB image.
alphafloat, optional
Transparency value for polygons drawn over the image.
return_allbool, optional
If True, an array containing each separate polygon drawn is returned. (The p... | |
doc_19322 | A factory function for creating a ModuleSpec instance based on the path to a file. Missing information will be filled in on the spec by making use of loader APIs and by the implication that the module will be file-based. New in version 3.4. Changed in version 3.6: Accepts a path-like object. | |
doc_19323 |
Day of the week the period lies in, with Monday=0 and Sunday=6. If the period frequency is lower than daily (e.g. hourly), and the period spans over multiple days, the day at the start of the period is used. If the frequency is higher than daily (e.g. monthly), the last day of the period is used. Returns
int
Day ... | |
doc_19324 | accessor for ‘no-cache’ | |
doc_19325 | This is the SRID code that the field value should be transformed to. For example, if the map widget SRID is different from the SRID more generally used by your application or database, the field will automatically convert input values into that SRID. | |
doc_19326 | Sometimes you get an URL by a user that just isn’t a real URL because it contains unsafe characters like ‘ ‘ and so on. This function can fix some of the problems in a similar way browsers handle data entered by the user: >>> url_fix('http://de.wikipedia.org/wiki/Elf (Begriffskl\xe4rung)')
'http://de.wikipedia.org/wiki... | |
doc_19327 | A subclass of Mailbox for mailboxes in MMDF format. Parameter factory is a callable object that accepts a file-like message representation (which behaves as if opened in binary mode) and returns a custom representation. If factory is None, MMDFMessage is used as the default message representation. If create is True, th... | |
doc_19328 | operator.le(a, b)
operator.eq(a, b)
operator.ne(a, b)
operator.ge(a, b)
operator.gt(a, b)
operator.__lt__(a, b)
operator.__le__(a, b)
operator.__eq__(a, b)
operator.__ne__(a, b)
operator.__ge__(a, b)
operator.__gt__(a, b)
Perform “rich comparisons” between a and b. Specifically, lt(a, b) is equiva... | |
doc_19329 | A subclass of HTTPException. | |
doc_19330 | Returns a new dictionary-like object. defaultdict is a subclass of the built-in dict class. It overrides one method and adds one writable instance variable. The remaining functionality is the same as for the dict class and is not documented here. The first argument provides the initial value for the default_factory att... | |
doc_19331 |
Lasso linear model with iterative fitting along a regularization path. See glossary entry for cross-validation estimator. The best model is selected by cross-validation. The optimization objective for Lasso is: (1 / (2 * n_samples)) * ||y - Xw||^2_2 + alpha * ||w||_1
Read more in the User Guide. Parameters
epsfl... | |
doc_19332 |
Finds the K-neighbors of a point. Returns indices of and distances to the neighbors of each point. Parameters
Xarray-like, shape (n_queries, n_features), or (n_queries, n_indexed) if metric == ‘precomputed’, default=None
The query point or points. If not provided, neighbors of each indexed point are returned. I... | |
doc_19333 | See Migration guide for more details. tf.compat.v1.raw_ops.SamplingDataset
tf.raw_ops.SamplingDataset(
input_dataset, rate, seed, seed2, output_types, output_shapes, name=None
)
There is no transformation in the tf.data Python API for creating this dataset. Instead, it is created as a result of the filter_with_r... | |
doc_19334 | Returns the content length from the WSGI environment as integer. If it’s not available or chunked transfer encoding is used, None is returned. Changelog New in version 0.9. Parameters
environ (WSGIEnvironment) – the WSGI environ to fetch the content length from. Return type
Optional[int] | |
doc_19335 |
Univariate feature selector with configurable strategy. Read more in the User Guide. Parameters
score_funccallable, default=f_classif
Function taking two arrays X and y, and returning a pair of arrays (scores, pvalues). For modes ‘percentile’ or ‘kbest’ it can return a single array scores.
mode{‘percentile’, ... | |
doc_19336 | An abstract base class for implementing source (and optionally bytecode) file loading. The class inherits from both ResourceLoader and ExecutionLoader, requiring the implementation of: ResourceLoader.get_data()
ExecutionLoader.get_filename()
Should only return the path to the source file; sourceless loading is no... | |
doc_19337 |
Predict class probabilities for X. Parameters
Xarray-like, shape (n_samples, n_features)
The input samples. Returns
pndarray, shape (n_samples, n_classes)
The class probabilities of the input samples. | |
doc_19338 | Return a copy of the referent. If the referent is unpicklable then this will raise an exception. | |
doc_19339 | Option for create_default_context() and SSLContext.load_default_certs(). This value indicates that the context may be used to authenticate Web servers (therefore, it will be used to create client-side sockets). New in version 3.4. | |
doc_19340 | See Migration guide for more details. tf.compat.v1.linalg.solve, tf.compat.v1.matrix_solve
tf.linalg.solve(
matrix, rhs, adjoint=False, name=None
)
Matrix is a tensor of shape [..., M, M] whose inner-most 2 dimensions form square matrices. Rhs is a tensor of shape [..., M, K]. The output is a tensor shape [..., ... | |
doc_19341 | A generic version of builtins.frozenset. Deprecated since version 3.9: builtins.frozenset now supports []. See PEP 585 and Generic Alias Type. | |
doc_19342 | Set the current child watcher to watcher for the current policy. watcher must implement methods defined in the AbstractChildWatcher base class. | |
doc_19343 | Return a representation of a floating-point number as a hexadecimal string. For finite floating-point numbers, this representation will always include a leading 0x and a trailing p and exponent. | |
doc_19344 |
Roll provided date backward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | |
doc_19345 | sets the threshold in milliseconds set_timing_treshold(time_ms) -> None Default is 1000./80 where 80 is the fps I want to switch to full screen mode. This method's name is a typo and should be fixed.
Raises:
TypeError -- if time_ms is not int or float | |
doc_19346 | Return the table’s name. This is the name of the class if the table is for a class, the name of the function if the table is for a function, or 'top' if the table is global (get_type() returns 'module'). | |
doc_19347 | exit(code=None)
Objects that when printed, print a message like “Use quit() or Ctrl-D (i.e. EOF) to exit”, and when called, raise SystemExit with the specified exit code. | |
doc_19348 |
Evaluate a string describing operations on DataFrame columns. Operates on columns only, not specific rows or elements. This allows eval to run arbitrary code, which can make you vulnerable to code injection if you pass user input to this function. Parameters
expr:str
The expression string to evaluate.
inplace... | |
doc_19349 | Perform a string formatting operation. The string on which this method is called can contain literal text or replacement fields delimited by braces {}. Each replacement field contains either the numeric index of a positional argument, or the name of a keyword argument. Returns a copy of the string where each replacemen... | |
doc_19350 | ./configure
On large-file-capable Linux systems, this might work: CFLAGS='-D_LARGEFILE64_SOURCE -D_FILE_OFFSET_BITS=64' OPT="-g -O2 $CFLAGS" \
./configure
Notable Module Contents In addition to many functions described in the os module documentation, posix defines the following data item:
posix.envi... | |
doc_19351 | Set the event. All tasks waiting for event to be set will be immediately awakened. | |
doc_19352 |
Get 3D z limits. | |
doc_19353 |
Reset the index, or a level of it. Reset the index of the DataFrame, and use the default one instead. If the DataFrame has a MultiIndex, this method can remove one or more levels. Parameters
level:int, str, tuple, or list, default None
Only remove the given levels from the index. Removes all levels by default. ... | |
doc_19354 |
Add a callback function that will be called whenever one of the Artist's properties changes. Parameters
funccallable
The callback function. It must have the signature: def func(artist: Artist) -> Any
where artist is the calling Artist. Return values may exist but are ignored. Returns
int
The observer id ... | |
doc_19355 | tf.config.experimental.list_physical_devices Compat aliases for migration See Migration guide for more details. tf.compat.v1.config.experimental.list_physical_devices, tf.compat.v1.config.list_physical_devices
tf.config.list_physical_devices(
device_type=None
)
Physical devices are hardware devices present on th... | |
doc_19356 | Number of memory blocks in the new snapshot (int): 0 if the memory blocks have been released in the new snapshot. | |
doc_19357 | Read the pickled representation of an object from the open file object file and return the reconstituted object hierarchy specified therein. This is equivalent to Unpickler(file).load(). The protocol version of the pickle is detected automatically, so no protocol argument is needed. Bytes past the pickled representatio... | |
doc_19358 |
Create an object to more easily perform multi-index slicing. See also MultiIndex.remove_unused_levels
New MultiIndex with no unused levels. Notes See Defined Levels for further info on slicing a MultiIndex. Examples
>>> midx = pd.MultiIndex.from_product([['A0','A1'], ['B0','B1','B2','B3']])
>>> columns = ['foo... | |
doc_19359 | Returns a naive datetime that represents in timezone the same point in time as value, value being an aware datetime. If timezone is set to None, it defaults to the current time zone. | |
doc_19360 | The type object for proxies of callable objects. | |
doc_19361 |
Convenience method for merging replicates. Merge will extrapolate times to number_per_run=1 and will not transfer any metadata. (Since it might differ between replicates) | |
doc_19362 | The string representation of the response body. Whenever you call this property the response iterable is encoded and flattened. This can lead to unwanted behavior if you stream big data. This behavior can be disabled by setting implicit_sequence_conversion to False. If as_text is set to True the return value will be a ... | |
doc_19363 |
Returns the number of GPUs available. | |
doc_19364 | An EmailValidator instance without any customizations. | |
doc_19365 | Implements a callable that constructs URLs with the given base. The function can be called with any number of positional and keyword arguments which than are used to assemble the URL. Works with URLs and posix paths. Positional arguments are appended as individual segments to the path of the URL: >>> href = Href('/foo'... | |
doc_19366 | New in version 3.2. Deprecated since version 3.3: It is now possible to use classmethod with abstractmethod(), making this decorator redundant. A subclass of the built-in classmethod(), indicating an abstract classmethod. Otherwise it is similar to abstractmethod(). This special case is deprecated, as the classmeth... | |
doc_19367 |
Other Members
bytes_or_text_types
complex_types
integral_types
real_types | |
doc_19368 | See Migration guide for more details. tf.compat.v1.raw_ops.ResourceCountUpTo
tf.raw_ops.ResourceCountUpTo(
resource, limit, T, name=None
)
Args
resource A Tensor of type resource. Should be from a scalar Variable node.
limit An int. If incrementing ref would bring it above limit, instead generates... | |
doc_19369 |
Calculate the rolling count of non NaN observations. Returns
Series or DataFrame
Return type is the same as the original object with np.float64 dtype. See also pandas.Series.rolling
Calling rolling with Series data. pandas.DataFrame.rolling
Calling rolling with DataFrames. pandas.Series.count
Aggregati... | |
doc_19370 | Returns the mean value of the given expression, which must be numeric unless you specify a different output_field. Default alias: <field>__avg
Return type: float if input is int, otherwise same as input field, or output_field if supplied Has one optional argument:
distinct
If distinct=True, Avg returns the mean ... | |
doc_19371 |
Inverse sine, element-wise. Parameters
xarray_like
y-coordinate on the unit circle.
outndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is retur... | |
doc_19372 | tf.round Compat aliases for migration See Migration guide for more details. tf.compat.v1.math.round, tf.compat.v1.round
tf.math.round(
x, name=None
)
Rounds half to even. Also known as bankers rounding. If you want to round according to the current system rounding mode use tf::cint. For example: x = tf.constant(... | |
doc_19373 |
Boolean indicator if the date belongs to a leap year. A leap year is a year, which has 366 days (instead of 365) including 29th of February as an intercalary day. Leap years are years which are multiples of four with the exception of years divisible by 100 but not by 400. Returns
Series or ndarray
Booleans indica... | |
doc_19374 |
Scalar method identical to the corresponding array attribute. Please see ndarray.itemset. | |
doc_19375 |
Fits a Minimum Covariance Determinant with the FastMCD algorithm. Parameters
Xarray-like of shape (n_samples, n_features)
Training data, where n_samples is the number of samples and n_features is the number of features. y: Ignored
Not used, present for API consistency by convention. Returns
selfobject | |
doc_19376 | Return a new “bytes” object, which is an immutable sequence of integers in the range 0 <= x < 256. bytes is an immutable version of bytearray – it has the same non-mutating methods and the same indexing and slicing behavior. Accordingly, constructor arguments are interpreted as for bytearray(). Bytes objects can also b... | |
doc_19377 |
Computes the squared Mahalanobis distances of given observations. Parameters
Xarray-like of shape (n_samples, n_features)
The observations, the Mahalanobis distances of the which we compute. Observations are assumed to be drawn from the same distribution than the data used in fit. Returns
distndarray of s... | |
doc_19378 |
Attributes
type_hint string type_hint | |
doc_19379 |
Return whether arbitrary affine transformations in draw_image() are supported (True for most vector backends). | |
doc_19380 | Encapsulation of the information needed by the XMLReader to read entities. This class may include information about the public identifier, system identifier, byte stream (possibly with character encoding information) and/or the character stream of an entity. Applications will create objects of this class for use in the... | |
doc_19381 | See Migration guide for more details. tf.compat.v1.keras.callbacks.RemoteMonitor
tf.keras.callbacks.RemoteMonitor(
root='http://localhost:9000', path='/publish/epoch/end/',
field='data', headers=None, send_as_json=False
)
Requires the requests library. Events are sent to root + '/publish/epoch/end/' by defau... | |
doc_19382 |
Return the Transform instance mapping patch coordinates to data coordinates. For example, one may define a patch of a circle which represents a radius of 5 by providing coordinates for a unit circle, and a transform which scales the coordinates (the patch coordinate) by 5. | |
doc_19383 | wsgiref.util.guess_scheme(environ)
Return a guess for whether wsgi.url_scheme should be “http” or “https”, by checking for a HTTPS environment variable in the environ dictionary. The return value is a string. This function is useful when creating a gateway that wraps CGI or a CGI-like protocol such as FastCGI. Typica... | |
doc_19384 | sklearn.metrics.pairwise.haversine_distances(X, Y=None) [source]
Compute the Haversine distance between samples in X and Y. The Haversine (or great circle) distance is the angular distance between two points on the surface of a sphere. The first coordinate of each point is assumed to be the latitude, the second is th... | |
doc_19385 |
Set whether the polygon is closed. Parameters
closedbool
True if the polygon is closed | |
doc_19386 | Wraps the posix_spawnp() C library API for use from Python. Similar to posix_spawn() except that the system searches for the executable file in the list of directories specified by the PATH environment variable (in the same way as for execvp(3)). Raises an auditing event os.posix_spawn with arguments path, argv, env. ... | |
doc_19387 |
Set the padding between the axes. Parameters
axes_pad(float, float)
The padding (horizontal pad, vertical pad) in inches. | |
doc_19388 | See Migration guide for more details. tf.compat.v1.feature_column.sequence_categorical_column_with_identity
tf.feature_column.sequence_categorical_column_with_identity(
key, num_buckets, default_value=None
)
Pass this to embedding_column or indicator_column to convert sequence categorical data into dense represe... | |
doc_19389 | Don’t allow sites to set two-component domains with country-code top-level domains like .co.uk, .gov.uk, .co.nz.etc. This is far from perfect and isn’t guaranteed to work! | |
doc_19390 | New in Django 3.2. The list of URL patterns tried before the URL either matched one or exhausted available patterns. | |
doc_19391 |
Set the parameters of this estimator. The method works on simple estimators as well as on nested objects (such as Pipeline). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object. Parameters
**paramsdict
Estimator parameters. Returns... | |
doc_19392 | The impurity-based feature importances. The higher, the more important the feature. The importance of a feature is computed as the (normalized) total reduction of the criterion brought by that feature. It is also known as the Gini importance. Warning: impurity-based feature importances can be misleading for high cardin... | |
doc_19393 | tf.compat.v1.disable_tensor_equality()
This is a legacy behaviour of TensorFlow and is highly discouraged. | |
doc_19394 |
Set the label position (top or bottom) Parameters
position{'top', 'bottom'}
Examples using matplotlib.axis.XAxis.set_label_position
Title positioning | |
doc_19395 |
Alias for get_linewidth. | |
doc_19396 |
[Deprecated] Convert a mathtext string to a grayscale array and depth. Parameters
texstrstr
A valid mathtext string, e.g., r'IQ: $sigma_i=15$'.
dpifloat
The dots-per-inch setting used to render the text.
fontsizeint
The font size in points Returns
array2D uint8 alpha
Mask array of rasterized tex... | |
doc_19397 |
Draw random samples from a multivariate normal distribution. The multivariate normal, multinormal or Gaussian distribution is a generalization of the one-dimensional normal distribution to higher dimensions. Such a distribution is specified by its mean and covariance matrix. These parameters are analogous to the mean... | |
doc_19398 | tf.metrics.sparse_top_k_categorical_accuracy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.sparse_top_k_categorical_accuracy
tf.keras.metrics.sparse_top_k_categorical_accuracy(
y_true, y_pred, k=5
)
Standalone usage:
y_true = [2, 1]
y_pred = [[0.1, 0.9, 0.8], [0.0... | |
doc_19399 |
Transform features by scaling each feature to a given range. This estimator scales and translates each feature individually such that it is in the given range on the training set, e.g. between zero and one. The transformation is given by: X_std = (X - X.min(axis=0)) / (X.max(axis=0) - X.min(axis=0))
X_scaled = X_std ... |
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